hxy8149989's Stars
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
openai/gpt-3
GPT-3: Language Models are Few-Shot Learners
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
matplotlib/cheatsheets
Official Matplotlib cheat sheets
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
mohuangrui/ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
vahidk/EffectivePyTorch
PyTorch tutorials and best practices.
Jhy1993/HAN
Heterogeneous Graph Neural Network
seongjunyun/Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
lonePatient/albert_pytorch
A Lite Bert For Self-Supervised Learning Language Representations
bojone/bert_in_keras
在Keras下微调Bert的一些例子;some examples of bert in keras
chuxuzhang/KDD2019_HetGNN
code of HetGNN
monologg/R-BERT
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
ThilinaRajapakse/pytorch-transformers-classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
diffbot/knowledge-net
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
icoxfog417/graph-convolution-nlp
Graph Convolution Network for NLP
zhpmatrix/BERTem
论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
wang-h/bert-relation-classification
A pytorch implementation of BERT-based relation classification
jiangnanboy/albert_lstm_crf_ner
albert + lstm + crf实体识别,pytorch实现。识别的主要实体是人名、地名、机构名和时间。albert + lstm + crf (named entity recognition)
thomas0809/GraphIE
A Graph-Based Framework for Information Extraction
freesunshine0316/nary-grn
Code regarding to our paper "N-ary Relation Extraction using Graph State LSTM"
slczgwh/REDN
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
dawenzi123/DAGCN
Dual Attention Graph Convolutional Network
Cartus/DCGCN
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
hongwang600/DocRed
ewrfcas/DocRED_Bert
A bert baseline for DocRED
AICyberTeam/OSCD-datasets
We build two benchmarks Fashion-OSCD and Pascal-OSCD, based on fashion-mnist and Pascal VOC to evaluate one-shot conditional object detection and provide convenience for the community.